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Management, Technology, and Economic Growth in Smart and Sustainable Cities

Jorge A. Ruiz-Vanoye (Universidad Politécnica de Pachuca, Mexico)
Indexed In: SCOPUS
Release Date: October, 2023 | Copyright: © 2023 | Pages: 341

Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798369303733
ISBN13 Softcover: 9798369303740
EISBN13: 9798369303757
DOI: 10.4018/979-8-3693-0373-3

Description:

Rapid urbanization poses significant challenges for cities worldwide, demanding sustainable development solutions. However, traditional city management approaches often struggle to address the complex interplay of economic growth, technology, and environmental considerations. The lack of comprehensive guidance and practical strategies hinders the establishment of smart and sustainable cities, putting long-term urban sustainability and the well-being of present and future generations at risk.

Management, Technology, and Economic Growth in Smart and Sustainable Cities provides a timely and essential solution to the intricate challenges faced by urban areas. Edited by renowned academic scholar Jorge Ruiz Vanoye, this book features practical contributions from experts across diverse fields. By leveraging mathematical modeling, artificial intelligence, and advanced technologies, it offers tangible strategies and insights for the optimal management of smart and sustainable cities.

Ideal for professionals, researchers, and executives involved in smart and sustainable city development, this book covers key topics such as smart governance, energy, healthcare, transportation, education, farming, industry, environment, and society. It equips readers with practical guidance and innovative solutions, empowering them to navigate the complexities of modern urban management, drive efficient resource utilization, enhance the quality of life, and foster sustainable economic growth.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agriculture
  • Artificial Intelligence
  • Economic Growth
  • Energy
  • Environment
  • Governance
  • Healthcare
  • Industry
  • Mathematical Modeling
  • Smart Building
  • Smart Education
  • Smart Farming
  • Smart Governance
  • Smart Transportation
  • Sustainability

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In this article, we delve into the current landscape of utilizing intelligent technologies for monitoring, controlling, and automating urban gardens. Our research highlights the pivotal role of these technologies in advancing food production in cities. By harnessing intelligent systems, we can optimize resource utilization, reduce waste, and promote sustainable practices in urban agriculture.

Our work contributes to the growing body of knowledge aimed at bolstering urban food systems and addressing the challenges of feeding a rapidly urbanizing world. This article provides valuable insights into how intelligent technologies can make urban gardening more efficient, cost-effective, and resilient, ultimately benefiting urban populations and the environment.

– Dr. Marco Antonio Márquez Vera

Jorge Ruiz-Vanoye is a Professor and Researcher at Universidad Politécnica de Pachuca (UPP), a National Researcher under the Secretaria de Ciencia, Humanidades, Tecnología e Innovación program, and an Adjunct Researcher at the National Laboratory of Autonomous Vehicles and Exoskeletons (LANAVEX). Additionally, he holds the title of Lecturer-level Researcher for the Agency for the Quality of the University System of Catalonia (Generalitat de Catalunya). His research interests include Smart Cities, Smart Water, Smart Education, Smart Government, Smart Healthcare, Smart Farming, Smart Energy, Smart Sports, Smart Food, Smart Tourism, Algorithmic Finance, Algorithmic Portfolio Management, Applications and Theory of Algorithms, Bio-inspired Algorithms, Combinatorial Optimization Problems, Compilers, Computational Intelligence, Computational Complexity Theory, Computational Financial Intelligence, Complexity of Algorithms, Complexity of Instances, Computational Statistics, Computer Networks, Computer Science Security, Cybercrimes, Data Mining, Education, Evolutionary Computation, Heuristic Optimization Techniques in Bioinformatics, Hybrid Evolutionary Algorithms, Hybrid Optimization Algorithms, Machine Learning, Meta-heuristics, Operations Research, Operations Management, Parallel & Distributed Computing, Production Planning and Logistics Optimization, Project Scheduling Problems, Software Engineering, and Transgenic Algorithms.

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